Applications of Bayesian model averaging to the curvature and size of the Universe
Bayesian model averaging is a procedure to obtain parameter constraints that account for the uncertainty about the correct cosmological model. We use recent cosmological observations and Bayesian model averaging to derive tight limits on the curvature parameter, as well as robust lower bounds on the...
Main Authors: | , , |
---|---|
Format: | Journal article |
Language: | English |
Published: |
2011
|